1. Introduction
The increasing decentralization of organizational structures and the broad spread of network organizations, virtual teams, and cross-functional teams are blurring work team boundaries and causing the ability to effectively coordinate with external parties to be a key determinant of team performance and innovation [
1,
2,
3,
4,
5]. This trend triggered much research on boundary activities, which refer to activities that establish and maintain team boundaries and manage interactions across those boundaries [
3]. The majority of boundary work research focused on team boundary activities [
6]. This stream of research identified team structure and composition [
7] and task characteristics [
8,
9] as predictors of team boundary activities. However, relatively little knowledge is available with respect to team-level factors affecting individual members’ boundary activities. This is a critical omission in light of the mounting evidence for between-individual variance in boundary activities (e.g., References [
4,
10]). Because team members play differential roles in their team’s boundary activities, they tend to display certain variations in boundary activities [
4]. For this reason, researchers constantly called for multilevel research on boundary activities to understand boundary activities that unfold at different levels of organizations [
4].
Unfortunately, Marrone et al.’s [
4] research is the only empirical research that revealed the multilevel forces influencing individual-level boundary activities. They found that individual boundary-spanning behavior is affected by team-level (i.e., external focus and consensus on external focus) and individual-level predictors (i.e., boundary-spanning role and boundary-spanning self-efficacy). While Marrone et al.’s [
4] research provides initial, meaningful insights into the critical role of multilevel factors in predicting individual boundary-spanning behavior, we seek to extend their research in three ways. Firstly, as suggested by the boundary management literature, there are forms of boundary activities other than boundary-spanning behavior. That is, in some situations, team members engage in boundary-spanning behavior such as reaching out to external constituents and developing partnerships with them. However, in other circumstances, team members choose to engage in more internally oriented behavior such as reinforcing and buffering team boundaries [
1,
3]. The boundary management literature highlights that all three forms of boundary activities (i.e., boundary spanning, reinforcement, and buffering) differentially contribute to team functioning [
3,
6]. Therefore, for a comprehensive understanding of individual team members’ boundary activities, it is necessary to explore antecedents affecting the three forms of boundary activities.
Secondly, Marrone et al. [
4] attended to team-level characteristics such as external focus and consensus on external focus as precursors of individual boundary-spanning behavior. However, because boundary activities involve interteam interactions, interteam dynamics or relations need to be considered a key antecedent of individual boundary activities. Building on the construal process framework of intergroup relations [
11], which posits that team members’ perceptions of intergroup cooperation and competition determine their intergroup behaviors, we argue that team members’ perceptions of interteam cooperation and competition serve as pivotal contextual factors influencing their boundary activities after controlling for their individual differences. Thus, the aim of our study is to examine how interteam cooperation and competition affect different boundary activities at the individual level.
Thirdly, we complement Marrone et al.’s [
4] research by uncovering the intermediary processes linking interteam cooperation and competition and different forms of boundary activities. Although interteam relations or interdependence was proposed to influence boundary activities [
5,
8,
12], mediating mechanisms via which interteam relations or interdependence instigate boundary activities are still unknown. Even Marrone et al.’s [
4] research did not explore the mediating process between a team’s external focus and individual boundary-spanning activities. To bridge this gap, we attempt a cross-level analysis of mediating processes in which interteam cooperation and competition lead to team members’ boundary activities. Drawing on Dragoni’s [
13] cross-level model of state goal orientation, we propose team goal orientation as a central cross-level mechanism that translates the effect of interteam cooperation and competition on individual-level boundary activities. Team goal orientation is defined as the team members’ shared perceptions of the goals pursued by the team [
13,
14,
15,
16,
17] and is categorized into learning, performance-prove, and performance-avoid goal orientations [
17]. In this study, interteam cooperation and competition are hypothesized to affect different forms of boundary activities by shaping their relevant types of team goal orientation within a team.
The examination of team goal orientation as a mediator between interteam cooperation and competition and boundary activities advances the existing boundary work literature. So far, how interteam relations affect boundary activities and what team processes intervene in such a relationship remain a black box in the boundary management literature. Thus, elucidating disparate mediating processes underlying different boundary activities can provide a sophisticated understanding of boundary activities. In particular, compared with research that examines interteam goal interdependence as an antecedent or a moderator of boundary activities [
5,
8], relatively little attention was devoted to the role of team goals in promoting boundary activities. Given that boundary activities are behaviors geared toward the achievement of task-related goals [
1,
18], it is necessary to investigate the role that team goal orientation plays in team members’ boundary activities. Therefore, the objective of this study is to examine the cross-level mediating effect of different team goal orientations on the relationships between interteam cooperation and competition and distinct forms of individual boundary activities.
2. Theoretical Background
Boundary activities encompass team members’ boundary management behaviors targeted at counterpart teams in the same organization, the upper management, and external constituents (e.g., customers, competitors, and government) [
8,
9]. In line with prior research (e.g., References [
5,
8]), we limit the scope of boundary activities in this study to activities between a target team and its counterpart teams within the same organization. Adopting Faraj and Yan’s [
3] typology, we classify boundary activities into boundary spanning, reinforcement, and buffering.
Boundary spanning is defined as team members’ actions to reach out to their counterpart teams to acquire important resources and support. Boundary spanning corresponds to ambassador, task coordinator, and scout activities in Ancona and Caldwell’s [
1] pioneering study on boundary work. This includes activities such as bargaining and negotiation, contracting and cooptation, and alliance and coalition building [
3,
19].
Boundary reinforcement pertains to activities that create and maintain the team boundary by enhancing member awareness of boundaries and team identity [
3,
19]. Creating a clear sense of a common task and a collective identity is an example of boundary reinforcement. Although boundary reinforcement was not identified as a specific form of boundary activity by Ancona and Caldwell [
1], Yan and Louis [
19] introduced “bringing-up boundaries” as inward-facing boundary activities that help the team deal with external constituents. Extending Yan and Louis’s work, Faraj and Yan [
3] coined the term boundary reinforcement to represent bringing-up boundaries behavior.
Boundary buffering refers to a team’s self-protective strategy of closing itself off from exposure to external uncertainties and disturbances [
3,
19]. Similar to guard activities in Ancona and Caldwell’s [
1] research, boundary buffering is exemplified by activities such as limiting interactions with external constituents, preventing the inflow of information and resources from external agents, and controlling the outflow of critical information from the team.
According to the boundary management literature, although internal (i.e., boundary reinforcement and buffering) and external (i.e., boundary spanning) boundary activities are seemingly contradictory, they are not mutually exclusive, as indicated by a positive correlation between boundary-spanning and boundary-strengthening activities [
20,
21]. It was found that team members alternate between internal and external boundary activities depending on task requirements and the phase of task development [
6]. For instance, Sawyer et al.’s [
22] research on software development teams showed that team members display more boundary-spanning behavior in the requirement definition phase, whereas boundary reinforcement increases in the software development stage. Dey and Ganesh’s [
6], in their review of boundary work research, concluded that a high level of team performance and effectiveness can be found in teams that are capable of balancing between boundary-spanning and boundary-strengthening activities. These findings suggest that team members engage in more than one form of boundary activities and that all three forms of boundary activities are necessary for optimal team functioning.
Drawing on the construal process framework of intergroup relations [
11], we propose that boundary activities are driven by team members’ perceptions of whether their team is in a cooperative or competitive stance with other teams. The construal process framework of intergroup relations conceptualizes interteam cooperation and competition based on team members’ perceptions of the team’s current situation [
11]. This is due to the reasoning that individuals’ subjective perception and interpretation of a potentially cooperative or competitive situation more strongly affect their behavior than the actual situation itself. Adopting Maxwell-Smith et al.’s [
11] conceptualization, we define interteam competition as the perception that a group and another group(s) are striving to acquire a reward or desired outcome at each other’s expense. In contrast, interteam cooperation refers to the perception that the goal achievement of one team increases the ability of other teams to obtain desired outcomes (e.g., goals, rewards) [
23,
24]. For instance, a human resource development (HRD) team is likely to exhibit a high degree of interteam cooperation because its performance is evaluated based on their client teams’ satisfaction with the training programs offered by the HRD team. On the contrary, a high degree of interteam competition can be found in a bank branch that competes with other branches to win the incentive for the best-performing branch. As work-related interactions frequently occur at the work-unit level [
25], collective experience among team members form converged perceptions of the extent to which their team is cooperative or competitive with other teams [
26,
27,
28]. Social information processing theory [
29] postulates that repeated exposure to cooperative or competitive situations makes team members develop shared perceptions and interpretations of those situations. Through frequent interactions and communication within the team, team members come to hold shared perceptions of the degrees of cooperation and competition between their team and counterpart teams [
30], which constitute interteam cooperation and competition climates. Therefore, over time, team members develop relatively homogeneous perceptions of interteam cooperation and competition, which affect their boundary activities [
11].
The construal process framework of intergroup relations maintains that whether individuals perceive their goals as being positively or negatively related to other teams determines how they interact with one another [
11,
31]. Based on this argument, it is speculated that the relationship of a team’s goals to those of other teams can have important implications for boundary activities between the teams. Although the construal process framework itself does not propose a mediating mechanism via which interteam cooperation and competition affect individual boundary activities, we integrate this framework with Dragoni’s [
13] cross-level model of state goal orientation. Dragoni’s model assumes a cross-level causal relationship in which work group climates influence group members’ goal orientations, which in turn affect their behavior. According to this model, team climate signals what is desired and emphasized by the team, thereby motivating team members to adopt a goal orientation that pursues what is desired and emphasized by the team [
13]. Based on this theorizing, we propose that interteam cooperation and competition climates precede team members’ choice of goal orientation. For instance, team members holding a cooperative climate perceive counterpart teams as resources for learning and development. As a result, they tend to choose a learning goal orientation as their primary mode of goal orientation. On the other hand, members of teams with a competitive climate regard counterpart teams as competitors, which facilitates a performance goal orientation. Dragoni’s model further claims that team members’ goal orientations determine their resultant behavior. Similarly, well established in the goal orientation literature is that goal orientations are drivers of behavior and performance at both individual and team levels ([
32]), which implies that goal orientations precede individuals’ boundary activities. Therefore, we propose a cross-level mediation model in which interteam cooperation and competition climates predict team members’ boundary activities through team goal orientations. Drawing on Dragoni’s model, we identify team learning, performance-prove, and performance-avoid goal orientations as mediators in our model.
Team learning goal orientation is a collective state in which team members perceive their team as pursuing the development of the members’ skills, knowledge, and competence [
13,
17]. Team performance-prove goal orientation is a collective state in which team members perceive their team as interested in proving its competence over others and attaining favorable assessment [
13,
17]. Team performance-avoid goal orientation is a collective state in which team members perceive their team as striving to avoid negative assessment. According to Dragoni’s [
13] model, different climates affect individual performance and work behavior by shaping relevant forms of goal orientation. Drawing on this logic, we postulate that interteam cooperation leads to team members’ boundary spanning by eliciting a learning goal orientation within the team. On the other hand, interteam competition is expected to affect team members’ boundary reinforcement by creating a team performance-prove goal orientation. Interteam competition is also posited to be linked to team members’ boundary buffering through the intervening mechanism of team performance-avoid goal orientation. The overall structure of our mediation model is in line with the input–mediator–outcome (IMO) model wherein team and organizational contexts (e.g., climate, interteam relations) affect team member outcomes through team emergent states [
31]. The team goal orientation literature identified team goal orientation as a crucial team process variable (e.g., References [
32,
33]). Thus, we propose a mediation model in which interteam cooperation and competition affect different boundary activities through the three types of team goal orientation. The proposed model is illustrated in
Figure 1 and is explained in detail in the following sections.
5. Study 1: Results
Because all measures were obtained from the same respondents, we conducted a confirmatory factor analysis (CFA) on the items of eight variables using AMOS 22. As reported in
Table 1, the hypothesized eight-factor model exhibited a good fit to the data (χ
2 = 768.87,
df = 406, comparative fit index (CFI) = 0.90, Tucker–Lewis index (TLI) = 0.88, root-mean-square error of approximation (RMSEA) = 0.06). Furthermore, the eight-factor model yielded a significantly better fit than the alternative models: Δχ
2 (
df = 7) = 114.61,
p < 0.001 for the seven-factor model; Δχ
2 (
df = 13) = 436.26,
p < 0.001 for the six-factor model; Δχ
2 (
df = 22) = 1014.44,
p < 0.001 for the four-factor model; Δχ
2 (
df = 25) = 1254.76,
p < 0.001 for the three-factor model; Δχ
2 (
df = 27) = 1435.81,
p < 0.001 for the two-factor model; Δχ
2 (
df = 28) = 1684.42,
p < 0.001 for the one-factor model. Thus, the measures used in Study 1 demonstrated sufficient discriminant validity.
Means, standard deviations, and intercorrelations are shown in
Table 2. Hypotheses 1a, 1b, and 1c predicted a positive relationship between interteam cooperation and team learning goal orientation and a negative relationship between interteam cooperation and team performance-prove and performance-avoid goal orientations. Conversely, Hypotheses 2a, 2b, and 2c proposed a negative relationship between interteam competition and team learning goal orientation and a positive relationship between interteam competition and team performance-prove and performance-avoid goal orientations. These hypotheses were tested by regressing each team goal orientation on the team-level predictors and controls (Level 1) and organizational-level controls (Level 2). The results of this two-level HLM analysis are presented in
Table 3. While interteam cooperation was positively associated with team learning goal orientation (γ = 0.35,
p < 0.001), it had no relationship with team performance-prove (γ = 0.16,
p = not significant (n.s.)) and performance-avoid goal orientations (γ = −0.09,
p = n.s.). On the other hand, interteam competition was positively related to team performance-prove (γ = 0.71,
p < 0.001) and performance-avoid goal orientations (γ = 0.45,
p < 0.01), but exhibited no relationship with team learning goal orientation (γ = 0.13,
p = n.s.). These findings provide support for Hypotheses 1a and 2b.
Hypotheses 3a, 3b, and 3c postulated a positive relationship between team learning and performance-prove goal orientations and boundary spanning and a negative relationship between team performance-avoid goal orientation and boundary spanning. Hypothesis 3d further predicted a stronger relationship between team learning goal orientation and boundary spanning than between team performance-prove goal orientation and boundary spanning. The results of three-level HLM are depicted in
Table 4. As demonstrated in Model 2 of
Table 4, team learning goal (γ = 0.60,
p < 0.01) and performance-prove goal orientations (γ = 0.47,
p < 0.05) were positively associated with boundary spanning, whereas team performance-avoid goal orientation had a marginally negative relationship with boundary spanning (γ = −0.23,
p < 0.10), which supports Hypotheses 3a, 3b, and 3c. In support of Hypothesis 3d, team learning goal orientation (γ = 0.60,
p < 0.01) had a stronger relationship with boundary spanning than team performance-prove goal orientation (γ = 0.47,
p < 0.05).
Hypotheses 4a, 4b, and 4c proposed a positive relationship between team learning and performance-prove goal orientations and boundary reinforcement and a negative relationship between team performance-avoid goal orientation and boundary reinforcement. Hypothesis 4d further predicted a stronger relationship between team performance-prove goal orientation and boundary reinforcement than between team learning goal orientation and boundary reinforcement. As shown in Model 4 of
Table 4, while team learning (γ = 0.56,
p < 0.05) and performance-prove goal orientations (γ = 0.61,
p < 0.01) were positively associated with boundary reinforcement, we detected no significant link between team performance-avoid goal orientation and boundary reinforcement (γ = −0.05,
p = n.s.). Therefore, Hypotheses 4a and 4b were supported, whereas Hypothesis 4c received no support. In support of Hypothesis 4d, we found a stronger relationship between team performance-prove goal orientation and boundary reinforcement (γ = 0.61,
p < 0.01) than between team learning goal orientation and boundary reinforcement (γ = 0.56,
p < 0.05).
Hypotheses 5a, 5b, and 5c postulated a negative relationship between team learning and performance-prove goal orientations and boundary buffering and a positive relationship between team performance-avoid goal orientation and boundary buffering. As illustrated in Model 6 of
Table 4, of the three goal orientations, only team learning-goal orientation had a marginally significant relationship with boundary buffering (γ = 0.60,
p < 0.10), failing to support Hypotheses 5a, 5b, and 5c.
Hypotheses 6, 7, and 8 predicted the mediating effects of the three team goal orientations on the relationship between interteam cooperation and competition and the three forms of boundary activities. The results of the Monte Carlo simulation procedure (re-sampling = 20,000) are reported in
Table 5. Interteam cooperation had a significant indirect effect on boundary spanning (estimate = 0.14, 95% confidence interval (CI) = 0.05, 0.26) and boundary reinforcement (estimate = 0.14, 95% CI = 0.02, 0.29) through team learning goal orientation. Interteam competition exerted a significant indirect effect on boundary spanning (estimate = 0.25, 95% CI = 0.05, 0.54) and boundary reinforcement (estimate = 0.35, 95% CI = 0.06, 0.46) through team performance-prove goal orientation. However, team performance-avoid goal orientation failed to mediate between interteam competition and boundary buffering (estimate = −0.07, 95% CI = −0.21, 0.02). These findings lend support to Hypotheses 6 and 7, but not to Hypothesis 8.
7. Study 2: Results
To assess the discriminant validity among the study variables, we performed a CFA on the items of six variables. The hypothesized six-factor structure exhibited a good fit to the data in an absolute sense (χ2 (df = 137) = 182.04, CFI = 0.94, TLI = 0.94, RMSEA = 0.04) and fitted the data significantly better than the three-factor model (combining team learning goal orientation and boundary spanning into a single factor, team performance-prove goal orientation and boundary reinforcement into a single factor, and team performance-avoid goal orientation and boundary buffering into a single factor; χ2 (df = 149) = 549.94, CFI = 0.51, TLI = 0.38, RMSEA = 0.11) and the two-factor model (combining three types of team goal orientation into a single factor and three forms of boundary activities into a single factor; χ2 (df = 151) = 490.16, CFI = 0.59, TLI = 0.48, RMSEA = 0.10), which confirmed the discriminant validity of the focal measures.
Means, standard deviations, and intercorrelations are presented in
Table 6. Each form of boundary activities was regressed on individual-, team-, and course-level predictors. The results of this three-level HLM are reported in
Table 7. Contrary to our prediction, T1 team learning goal orientation was not related to T2 boundary spanning (γ = −0.16,
p = n.s.) and boundary reinforcement (γ = 0.18,
p = n.s.). As proposed, T1 team performance-prove goal orientation was positively associated with T2 boundary reinforcement (γ = 0.50,
p < 0.05). T1 team performance-prove goal orientation (γ = 0.50,
p < 0.05) had a stronger relationship with T2 boundary reinforcement than T1 team learning goal orientation (γ = 0.18,
p = n.s.). These findings provide support for Hypotheses 4b and 4d. In addition, we found that T1 team performance-avoid goal orientation was positively related to T2 boundary buffering (γ = 0.25,
p < 0.05), which supports Hypothesis 5c. The results of Studies 1 and 2 are summarized in
Figure 2.